BACKGROUND: The prognostic value of T-wave morphology parameters in coronary artery disease in the current treatment era is not well established. METHODS: The Innovation to reduce Cardiovascular Complications of Diabetes at the Intersection (ARTEMIS) study included 1,946 patients with angiographically verified coronary artery disease (CAD). The study patients underwent thorough examinations including 12-lead digital electrocardiogram (ECG) at baseline. RESULTS: During a follow-up period of 73 ± 22 months, a total of 201 (10.3%) patients died. Of the study patients, 95 (4.9%) experienced cardiac death (CD) consisting of 44 (2.3%) sudden cardiac deaths (SCD) and 51 (2.6%) nonsudden cardiac deaths (NSCD), and 106 (5.4%) patients experienced noncardiac death (NCD). T-wave morphology dispersion (TMD), T-wave area dispersion (TWAD), and total cosine R-to-T (TCRT) had a significant association with CD even after adjustment with relevant clinical risk markers in the Cox regression analysis (multivariate HRs: 1.015, 95% CI 1.007-1.023, p = .0003; 0.474, 95% CI 0.305-0.737, p = .0009; 0.598, 95% CI 0.412-0.866, p = .006, respectively). When including these parameters to the clinical risk model for CD, the C-index increased from 0.810 to 0.823 improving the discrimination significantly (integrated discrimination index [IDI] = 0.0118, 95% CI 0.0028-0.0208, p = .01). These parameters were more closely associated with NSCD (multivariate p-values from .016 to .001) than with SCD (univariate/multivariate p-values for TMD .015/.197 and for TCRT .012/.43). CONCLUSION: T-wave morphology parameters describing repolarization heterogeneity improve the predictive power of the clinical risk model for CD in patients with CAD in the current treatment era.
BACKGROUND: The prognostic value of T-wave morphology parameters in coronary artery disease in the current treatment era is not well established. METHODS: The Innovation to reduce Cardiovascular Complications of Diabetes at the Intersection (ARTEMIS) study included 1,946 patients with angiographically verified coronary artery disease (CAD). The study patients underwent thorough examinations including 12-lead digital electrocardiogram (ECG) at baseline. RESULTS: During a follow-up period of 73 ± 22 months, a total of 201 (10.3%) patients died. Of the study patients, 95 (4.9%) experienced cardiac death (CD) consisting of 44 (2.3%) sudden cardiac deaths (SCD) and 51 (2.6%) nonsudden cardiac deaths (NSCD), and 106 (5.4%) patients experienced noncardiac death (NCD). T-wave morphology dispersion (TMD), T-wave area dispersion (TWAD), and total cosine R-to-T (TCRT) had a significant association with CD even after adjustment with relevant clinical risk markers in the Cox regression analysis (multivariate HRs: 1.015, 95% CI 1.007-1.023, p = .0003; 0.474, 95% CI 0.305-0.737, p = .0009; 0.598, 95% CI 0.412-0.866, p = .006, respectively). When including these parameters to the clinical risk model for CD, the C-index increased from 0.810 to 0.823 improving the discrimination significantly (integrated discrimination index [IDI] = 0.0118, 95% CI 0.0028-0.0208, p = .01). These parameters were more closely associated with NSCD (multivariate p-values from .016 to .001) than with SCD (univariate/multivariate p-values for TMD .015/.197 and for TCRT .012/.43). CONCLUSION: T-wave morphology parameters describing repolarization heterogeneity improve the predictive power of the clinical risk model for CD in patients with CAD in the current treatment era.
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